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20172023
most citedFECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

105 citations · 226 across the 10 of their papers we have counts for

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cs.CV2017★ 11 cited

Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning

Ziliang Chen, Keze Wang, Xiao Wang +3

Aiming at improving performance of visual classification in a cost-effective manner, this paper proposes an incremental semi-supervised learning paradigm called Deep Co-Space (DCS)…